Phishing dataset Profiling Report

Dataset statistics

Number of variables	67
Number of observations	11430
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.8 MiB
Average record size in memory	536.0 B

Variable types

Categorical	39
Numeric	28

Warnings

`ratio_nullHyperlinks` has constant value "0"	Constant
`ratio_intRedirection` has constant value "0"	Constant
`ratio_intErrors` has constant value "0"	Constant
`submit_email` has constant value "0"	Constant
`sfh` has constant value "0"	Constant
`url` has a high cardinality: 11429 distinct values	High cardinality
`nb_dslash` is highly correlated with `http_in_path`	High correlation
`http_in_path` is highly correlated with `nb_dslash`	High correlation
`shortest_word_host` is highly correlated with `avg_word_host`	High correlation
`longest_words_raw` is highly correlated with `longest_word_path` and 2 other fields	High correlation
`longest_word_host` is highly correlated with `avg_word_host`	High correlation
`longest_word_path` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`avg_words_raw` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`avg_word_host` is highly correlated with `shortest_word_host` and 1 other fields	High correlation
`avg_word_path` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`domain_in_brand` is highly correlated with `page_rank`	High correlation
`ratio_intHyperlinks` is highly correlated with `ratio_extHyperlinks` and 3 other fields	High correlation
`ratio_extHyperlinks` is highly correlated with `ratio_intHyperlinks` and 1 other fields	High correlation
`external_favicon` is highly correlated with `ratio_extHyperlinks`	High correlation
`links_in_tags` is highly correlated with `ratio_intHyperlinks`	High correlation
`ratio_intMedia` is highly correlated with `ratio_intHyperlinks`	High correlation
`safe_anchor` is highly correlated with `ratio_intHyperlinks`	High correlation
`domain_age` is highly correlated with `page_rank`	High correlation
`page_rank` is highly correlated with `domain_in_brand` and 1 other fields	High correlation
`nb_www` is highly correlated with `char_repeat`	High correlation
`length_words_raw` is highly correlated with `shortest_words_raw` and 2 other fields	High correlation
`char_repeat` is highly correlated with `nb_www`	High correlation
`shortest_words_raw` is highly correlated with `length_words_raw`	High correlation
`shortest_word_host` is highly correlated with `avg_word_host`	High correlation
`shortest_word_path` is highly correlated with `longest_word_path` and 1 other fields	High correlation
`longest_words_raw` is highly correlated with `longest_word_host` and 3 other fields	High correlation
`longest_word_host` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`longest_word_path` is highly correlated with `length_words_raw` and 3 other fields	High correlation
`avg_words_raw` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`avg_word_host` is highly correlated with `shortest_word_host` and 3 other fields	High correlation
`avg_word_path` is highly correlated with `length_words_raw` and 2 other fields	High correlation
`nb_hyperlinks` is highly correlated with `empty_title`	High correlation
`ratio_intHyperlinks` is highly correlated with `links_in_tags` and 1 other fields	High correlation
`ratio_extHyperlinks` is highly correlated with `nb_extCSS` and 2 other fields	High correlation
`nb_extCSS` is highly correlated with `ratio_extHyperlinks` and 1 other fields	High correlation
`external_favicon` is highly correlated with `ratio_extHyperlinks` and 1 other fields	High correlation
`links_in_tags` is highly correlated with `ratio_intHyperlinks`	High correlation
`ratio_intMedia` is highly correlated with `ratio_intHyperlinks`	High correlation
`ratio_extMedia` is highly correlated with `ratio_extHyperlinks`	High correlation
`empty_title` is highly correlated with `nb_hyperlinks`	High correlation
`domain_age` is highly correlated with `page_rank`	High correlation
`page_rank` is highly correlated with `domain_age`	High correlation
`ip` is highly correlated with `nb_www` and 37 other fields	High correlation
`nb_www` is highly correlated with `ip` and 35 other fields	High correlation
`nb_com` is highly correlated with `ip` and 37 other fields	High correlation
`nb_dslash` is highly correlated with `ip` and 34 other fields	High correlation
`http_in_path` is highly correlated with `ip` and 37 other fields	High correlation
`punycode` is highly correlated with `ip` and 34 other fields	High correlation
`port` is highly correlated with `ip` and 37 other fields	High correlation
`tld_in_path` is highly correlated with `ip` and 35 other fields	High correlation
`tld_in_subdomain` is highly correlated with `ip` and 37 other fields	High correlation
`abnormal_subdomain` is highly correlated with `ip` and 35 other fields	High correlation
`nb_subdomains` is highly correlated with `prefix_suffix` and 27 other fields	High correlation
`prefix_suffix` is highly correlated with `ip` and 37 other fields	High correlation
`random_domain` is highly correlated with `ip` and 38 other fields	High correlation
`shortening_service` is highly correlated with `ip` and 34 other fields	High correlation
`path_extension` is highly correlated with `ip` and 38 other fields	High correlation
`nb_redirection` is highly correlated with `nb_external_redirection` and 21 other fields	High correlation
`nb_external_redirection` is highly correlated with `ip` and 39 other fields	High correlation
`length_words_raw` is highly correlated with `shortest_words_raw` and 24 other fields	High correlation
`char_repeat` is highly correlated with `phish_hints` and 22 other fields	High correlation
`shortest_words_raw` is highly correlated with `length_words_raw` and 22 other fields	High correlation
`shortest_word_host` is highly correlated with `nb_www` and 26 other fields	High correlation
`shortest_word_path` is highly correlated with `phish_hints` and 23 other fields	High correlation
`longest_words_raw` is highly correlated with `longest_word_host` and 25 other fields	High correlation
`longest_word_host` is highly correlated with `longest_words_raw` and 22 other fields	High correlation
`longest_word_path` is highly correlated with `avg_word_path` and 24 other fields	High correlation
`avg_words_raw` is highly correlated with `longest_words_raw` and 22 other fields	High correlation
`avg_word_host` is highly correlated with `longest_word_host` and 23 other fields	High correlation
`avg_word_path` is highly correlated with `longest_word_path` and 24 other fields	High correlation
`phish_hints` is highly correlated with `ip` and 48 other fields	High correlation
`domain_in_brand` is highly correlated with `ip` and 48 other fields	High correlation
`brand_in_subdomain` is highly correlated with `ip` and 50 other fields	High correlation
`brand_in_path` is highly correlated with `ip` and 48 other fields	High correlation
`suspecious_tld` is highly correlated with `ip` and 50 other fields	High correlation
`statistical_report` is highly correlated with `ip` and 49 other fields	High correlation
`nb_hyperlinks` is highly correlated with `ratio_nullHyperlinks` and 14 other fields	High correlation
`ratio_intHyperlinks` is highly correlated with `ratio_extHyperlinks` and 19 other fields	High correlation
`ratio_extHyperlinks` is highly correlated with `ratio_intHyperlinks` and 15 other fields	High correlation
`ratio_nullHyperlinks` is highly correlated with `ip` and 54 other fields	High correlation
`nb_extCSS` is highly correlated with `ip` and 38 other fields	High correlation
`ratio_intRedirection` is highly correlated with `ip` and 54 other fields	High correlation
`ratio_extRedirection` is highly correlated with `ratio_intErrors` and 12 other fields	High correlation
`ratio_intErrors` is highly correlated with `ip` and 55 other fields	High correlation
`ratio_extErrors` is highly correlated with `ip` and 37 other fields	High correlation
`login_form` is highly correlated with `ip` and 55 other fields	High correlation
`external_favicon` is highly correlated with `ip` and 35 other fields	High correlation
`links_in_tags` is highly correlated with `submit_email` and 11 other fields	High correlation
`submit_email` is highly correlated with `ip` and 56 other fields	High correlation
`ratio_intMedia` is highly correlated with `submit_email` and 11 other fields	High correlation
`ratio_extMedia` is highly correlated with `ratio_intHyperlinks` and 16 other fields	High correlation
`sfh` is highly correlated with `ip` and 57 other fields	High correlation
`iframe` is highly correlated with `ip` and 57 other fields	High correlation
`popup_window` is highly correlated with `ip` and 57 other fields	High correlation
`safe_anchor` is highly correlated with `onmouseover` and 6 other fields	High correlation
`onmouseover` is highly correlated with `ip` and 58 other fields	High correlation
`right_clic` is highly correlated with `ip` and 58 other fields	High correlation
`empty_title` is highly correlated with `ip` and 58 other fields	High correlation
`domain_in_title` is highly correlated with `ip` and 57 other fields	High correlation
`domain_with_copyright` is highly correlated with `ip` and 34 other fields	High correlation
`whois_registered_domain` is highly correlated with `ip` and 58 other fields	High correlation
`domain_registration_length` is highly correlated with `dns_record` and 1 other fields	High correlation
`domain_age` is highly correlated with `dns_record` and 1 other fields	High correlation
`web_traffic` is highly correlated with `dns_record` and 1 other fields	High correlation
`dns_record` is highly correlated with `ip` and 61 other fields	High correlation
`google_index` is highly correlated with `nb_www` and 24 other fields	High correlation
`ratio_extHyperlinks` is highly correlated with `links_in_tags` and 5 other fields	High correlation
`nb_external_redirection` is highly correlated with `abnormal_subdomain` and 2 other fields	High correlation
`links_in_tags` is highly correlated with `ratio_extHyperlinks` and 4 other fields	High correlation
`ratio_extMedia` is highly correlated with `ratio_extHyperlinks` and 2 other fields	High correlation
`longest_words_raw` is highly correlated with `longest_word_path` and 3 other fields	High correlation
`longest_word_path` is highly correlated with `longest_words_raw` and 3 other fields	High correlation
`shortest_word_host` is highly correlated with `nb_www` and 3 other fields	High correlation
`abnormal_subdomain` is highly correlated with `nb_external_redirection` and 1 other fields	High correlation
`domain_in_title` is highly correlated with `status`	High correlation
`status` is highly correlated with `domain_in_title` and 3 other fields	High correlation
`nb_subdomains` is highly correlated with `nb_www`	High correlation
`length_words_raw` is highly correlated with `nb_external_redirection` and 6 other fields	High correlation
`safe_anchor` is highly correlated with `ratio_extHyperlinks` and 3 other fields	High correlation
`nb_www` is highly correlated with `shortest_word_host` and 1 other fields	High correlation
`avg_word_path` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`ratio_intHyperlinks` is highly correlated with `ratio_extHyperlinks` and 6 other fields	High correlation
`longest_word_host` is highly correlated with `shortest_word_host` and 1 other fields	High correlation
`empty_title` is highly correlated with `links_in_tags` and 2 other fields	High correlation
`web_traffic` is highly correlated with `tld_in_subdomain`	High correlation
`char_repeat` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`shortest_words_raw` is highly correlated with `shortest_word_host` and 1 other fields	High correlation
`dns_record` is highly correlated with `nb_external_redirection` and 1 other fields	High correlation
`http_in_path` is highly correlated with `length_words_raw` and 2 other fields	High correlation
`page_rank` is highly correlated with `status` and 3 other fields	High correlation
`ratio_intMedia` is highly correlated with `ratio_extHyperlinks` and 3 other fields	High correlation
`avg_words_raw` is highly correlated with `longest_words_raw` and 2 other fields	High correlation
`domain_age` is highly correlated with `page_rank` and 1 other fields	High correlation
`phish_hints` is highly correlated with `length_words_raw` and 2 other fields	High correlation
`avg_word_host` is highly correlated with `shortest_word_host` and 2 other fields	High correlation
`google_index` is highly correlated with `status` and 1 other fields	High correlation
`ip` is highly correlated with `length_words_raw` and 1 other fields	High correlation
`tld_in_subdomain` is highly correlated with `web_traffic` and 1 other fields	High correlation
`external_favicon` is highly correlated with `ratio_extHyperlinks` and 2 other fields	High correlation
`domain_in_brand` is highly correlated with `page_rank` and 1 other fields	High correlation
`nb_com` is highly correlated with `length_words_raw` and 2 other fields	High correlation
`brand_in_path` is highly correlated with `length_words_raw`	High correlation
`nb_external_redirection` is highly correlated with `submit_email` and 4 other fields	High correlation
`iframe` is highly correlated with `submit_email` and 4 other fields	High correlation
`onmouseover` is highly correlated with `submit_email` and 4 other fields	High correlation
`submit_email` is highly correlated with `nb_external_redirection` and 36 other fields	High correlation
`port` is highly correlated with `submit_email` and 4 other fields	High correlation
`popup_window` is highly correlated with `submit_email` and 4 other fields	High correlation
`abnormal_subdomain` is highly correlated with `submit_email` and 4 other fields	High correlation
`sfh` is highly correlated with `nb_external_redirection` and 36 other fields	High correlation
`domain_in_title` is highly correlated with `submit_email` and 4 other fields	High correlation
`domain_with_copyright` is highly correlated with `submit_email` and 4 other fields	High correlation
`status` is highly correlated with `submit_email` and 5 other fields	High correlation
`path_extension` is highly correlated with `submit_email` and 4 other fields	High correlation
`nb_subdomains` is highly correlated with `submit_email` and 4 other fields	High correlation
`tld_in_path` is highly correlated with `submit_email` and 4 other fields	High correlation
`statistical_report` is highly correlated with `submit_email` and 4 other fields	High correlation
`nb_www` is highly correlated with `submit_email` and 4 other fields	High correlation
`punycode` is highly correlated with `submit_email` and 4 other fields	High correlation
`random_domain` is highly correlated with `submit_email` and 4 other fields	High correlation
`empty_title` is highly correlated with `submit_email` and 4 other fields	High correlation
`ratio_nullHyperlinks` is highly correlated with `nb_external_redirection` and 36 other fields	High correlation
`dns_record` is highly correlated with `submit_email` and 4 other fields	High correlation
`right_clic` is highly correlated with `submit_email` and 4 other fields	High correlation
`http_in_path` is highly correlated with `submit_email` and 5 other fields	High correlation
`whois_registered_domain` is highly correlated with `submit_email` and 4 other fields	High correlation
`google_index` is highly correlated with `submit_email` and 5 other fields	High correlation
`ip` is highly correlated with `submit_email` and 4 other fields	High correlation
`tld_in_subdomain` is highly correlated with `submit_email` and 4 other fields	High correlation
`external_favicon` is highly correlated with `submit_email` and 4 other fields	High correlation
`ratio_intRedirection` is highly correlated with `nb_external_redirection` and 36 other fields	High correlation
`brand_in_subdomain` is highly correlated with `submit_email` and 4 other fields	High correlation
`nb_dslash` is highly correlated with `submit_email` and 5 other fields	High correlation
`suspecious_tld` is highly correlated with `submit_email` and 4 other fields	High correlation
`prefix_suffix` is highly correlated with `submit_email` and 4 other fields	High correlation
`ratio_intErrors` is highly correlated with `nb_external_redirection` and 36 other fields	High correlation
`brand_in_path` is highly correlated with `submit_email` and 4 other fields	High correlation
`login_form` is highly correlated with `submit_email` and 4 other fields	High correlation
`domain_in_brand` is highly correlated with `submit_email` and 4 other fields	High correlation
`shortening_service` is highly correlated with `submit_email` and 4 other fields	High correlation
`nb_extCSS` is highly skewed (γ1 = 23.49547911)	Skewed
`url` is uniformly distributed	Uniform
`status` is uniformly distributed	Uniform
`nb_com` has 10103 (88.4%) zeros	Zeros
`nb_redirection` has 6775 (59.3%) zeros	Zeros
`char_repeat` has 2361 (20.7%) zeros	Zeros
`shortest_word_path` has 3215 (28.1%) zeros	Zeros
`longest_word_path` has 3215 (28.1%) zeros	Zeros
`avg_word_path` has 3215 (28.1%) zeros	Zeros
`phish_hints` has 9389 (82.1%) zeros	Zeros
`nb_hyperlinks` has 1381 (12.1%) zeros	Zeros
`ratio_intHyperlinks` has 1886 (16.5%) zeros	Zeros
`ratio_extHyperlinks` has 3071 (26.9%) zeros	Zeros
`nb_extCSS` has 7828 (68.5%) zeros	Zeros
`ratio_extRedirection` has 6143 (53.7%) zeros	Zeros
`ratio_extErrors` has 8121 (71.0%) zeros	Zeros
`links_in_tags` has 3403 (29.8%) zeros	Zeros
`ratio_intMedia` has 5469 (47.8%) zeros	Zeros
`ratio_extMedia` has 7335 (64.2%) zeros	Zeros
`safe_anchor` has 4438 (38.8%) zeros	Zeros
`domain_registration_length` has 1404 (12.3%) zeros	Zeros
`web_traffic` has 4444 (38.9%) zeros	Zeros
`page_rank` has 2666 (23.3%) zeros	Zeros

Reproduction

Analysis started	2022-01-23 22:41:12.850070
Analysis finished	2022-01-23 22:47:42.235718
Duration	6 minutes and 29.39 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

url
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	11429
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

http://e710z0ear.du.r.appspot.com/c:/users/user/downlo	2
http://www.crestonwood.com/router.php	1
https://www.riverbed.com/products/steelcentral/network-performance-management/steelcentral-packet-analyzer.html	1
http://fience.vot.pl/xl	1
https://usbank.app.link/NquAmzCW01?platform=hootsuite	1
Other values (11424)	11424

Length

Max length	1641
Median length	47
Mean length	61.120035
Min length	12

Characters and Unicode

Total characters	698602
Distinct characters	100
Distinct categories	14 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11428 ?
Unique (%)	> 99.9%

Sample

1st row	http://www.crestonwood.com/router.php
2nd row	http://shadetreetechnology.com/V4/validation/a111aedc8ae390eabcfa130e041a10a4
3rd row	https://support-appleld.com.secureupdate.duilawyeryork.com/ap/89e6a3b4b063b8d/?cmd=_update&dispatch=89e6a3b4b063b8d1b&locale=_
4th row	http://rgipt.ac.in
5th row	http://www.iracing.com/tracks/gateway-motorsports-park/

Common Values

Value	Count	Frequency (%)
http://e710z0ear.du.r.appspot.com/c:/users/user/downlo	2	< 0.1%
http://www.crestonwood.com/router.php	1	< 0.1%
https://www.riverbed.com/products/steelcentral/network-performance-management/steelcentral-packet-analyzer.html	1	< 0.1%
http://fience.vot.pl/xl	1	< 0.1%
https://usbank.app.link/NquAmzCW01?platform=hootsuite	1	< 0.1%
http://103.229.125.10/	1	< 0.1%
https://en.wikiquote.org/wiki/India	1	< 0.1%
http://chasebank.com66.henrybakercollege.edu.in/chase.com/update.php	1	< 0.1%
http://searchwindevelopment.techtarget.com/definition/domain-name	1	< 0.1%
http://connxupdate.be/myebranch.iccu.com/Idaho%20Central%20Credit%20Union.php	1	< 0.1%
Other values (11419)	11419	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
http://stolizaparketa.ru/wp-content/themes/twentyfifteen/css/read/chinavali/index.php?email=_xxx@yyy.com	7	0.1%
http://153284594738391.statictab.com/2506080	3	< 0.1%
http://himatif.pelitabangsa.ac.id/admin	2	< 0.1%
https://623112j4j3.codesandbox.io/xrr	2	< 0.1%
http://ijikc.co.in/sites/ijikc20/rating/ken7xx7y0p9/wemail_al.html/error.php?l	2	< 0.1%
http://stolizaparketa.ru/wp-content/themes/twentyfifteen/css/read/chinavali/index.php?email=abuse@activesolutions.co.uk	2	< 0.1%
http://jurnal.stai-aljawami.ac.id/.well-known/pki-validation/emoji/main/main/doc/hub	2	< 0.1%
http://courgeon-immobilier.fr/wp-content/uploads/2019/02/tpg	2	< 0.1%
http://zabor-vn.com/system/csvprice_pro/smart/customer_center/customer-idpp00c354/myaccount/signin	2	< 0.1%
https://www.zabor-vn.com/system/csvprice_pro/smart/customer_center/customer-idpp00c354/myaccount/signin	2	< 0.1%
Other values (11244)	11407	99.8%

Most occurring characters

Value	Count	Frequency (%)
t	49171	7.0%
/	49030	7.0%
e	40829	5.8%
o	35303	5.1%
a	32792	4.7%
p	30923	4.4%
s	29208	4.2%
c	28485	4.1%
.	28354	4.1%
i	27617	4.0%
Other values (90)	346890	49.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	492123	70.4%
Other Punctuation	95110	13.6%
Decimal Number	62318	8.9%
Uppercase Letter	30171	4.3%
Dash Punctuation	11402	1.6%
Connector Punctuation	3688	0.5%
Math Symbol	3552	0.5%
Control	65	< 0.1%
Open Punctuation	64	< 0.1%
Close Punctuation	63	< 0.1%
Other values (4)	46	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	1951	6.5%
D	1674	5.5%
S	1508	5.0%
C	1502	5.0%
F	1499	5.0%
E	1399	4.6%
B	1368	4.5%
N	1287	4.3%
T	1274	4.2%
M	1266	4.2%
Other values (18)	15443	51.2%

Lowercase Letter

Value	Count	Frequency (%)
t	49171	10.0%
e	40829	8.3%
o	35303	7.2%
a	32792	6.7%
p	30923	6.3%
s	29208	5.9%
c	28485	5.8%
i	27617	5.6%
r	23269	4.7%
n	22460	4.6%
Other values (17)	172066	35.0%

Other Punctuation

Value	Count	Frequency (%)
/	49030	51.6%
.	28354	29.8%
:	11749	12.4%
&	1855	2.0%
?	1614	1.7%
%	1407	1.5%
;	712	0.7%
@	254	0.3%
#	50	0.1%
,	46	< 0.1%
Other values (3)	39	< 0.1%

Decimal Number

Value	Count	Frequency (%)
2	8092	13.0%
0	7889	12.7%
1	7375	11.8%
3	6154	9.9%
4	5713	9.2%
7	5622	9.0%
5	5578	9.0%
6	5386	8.6%
8	5319	8.5%
9	5190	8.3%

Math Symbol

Value	Count	Frequency (%)
=	3351	94.3%
+	120	3.4%
~	78	2.2%
<	3	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	45	70.3%
[	10	15.6%
{	9	14.1%

Close Punctuation

Value	Count	Frequency (%)
)	45	71.4%
]	10	15.9%
}	8	12.7%

Control

Value	Count	Frequency (%)
	33	50.8%
	31	47.7%
	1	1.5%

Other Letter

Value	Count	Frequency (%)
拠	1	50.0%
傅	1	50.0%

Modifier Symbol

Value	Count	Frequency (%)
`	17	89.5%
^	2	10.5%

Space Separator

Value	Count	Frequency (%)
	2	66.7%
	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	11402	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3688	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	522293	74.8%
Common	176307	25.2%
Han	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	49171	9.4%
e	40829	7.8%
o	35303	6.8%
a	32792	6.3%
p	30923	5.9%
s	29208	5.6%
c	28485	5.5%
i	27617	5.3%
r	23269	4.5%
n	22460	4.3%
Other values (44)	202236	38.7%

Common

Value	Count	Frequency (%)
/	49030	27.8%
.	28354	16.1%
:	11749	6.7%
-	11402	6.5%
2	8092	4.6%
0	7889	4.5%
1	7375	4.2%
3	6154	3.5%
4	5713	3.2%
7	5622	3.2%
Other values (34)	34927	19.8%

Han

Value	Count	Frequency (%)
拠	1	50.0%
傅	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	698466	> 99.9%
Latin 1 Sup	134	< 0.1%
CJK	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	49171	7.0%
/	49030	7.0%
e	40829	5.8%
o	35303	5.1%
a	32792	4.7%
p	30923	4.4%
s	29208	4.2%
c	28485	4.1%
.	28354	4.1%
i	27617	4.0%
Other values (81)	346754	49.6%

Latin 1 Sup

Value	Count	Frequency (%)
Ã	33	24.6%
Â	33	24.6%
	33	24.6%
	31	23.1%
	2	1.5%
µ	1	0.7%
	1	0.7%

CJK

Value	Count	Frequency (%)
拠	1	50.0%
傅	1	50.0%

ip
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	9709
1	1721

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9709	84.9%
1	1721	15.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	9709	84.9%
1	1721	15.1%

Most occurring characters

Value	Count	Frequency (%)
0	9709	84.9%
1	1721	15.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9709	84.9%
1	1721	15.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9709	84.9%
1	1721	15.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9709	84.9%
1	1721	15.1%

nb_www
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	6330
1	5074
2	26

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	6330	55.4%
1	5074	44.4%
2	26	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6330	55.4%
1	5074	44.4%
2	26	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	6330	55.4%
1	5074	44.4%
2	26	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6330	55.4%
1	5074	44.4%
2	26	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6330	55.4%
1	5074	44.4%
2	26	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6330	55.4%
1	5074	44.4%
2	26	0.2%

nb_com
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1279965004

Minimum	0
Maximum	6
Zeros	10103
Zeros (%)	88.4%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3790078643
Coefficient of variation (CV)	2.961079897
Kurtosis	23.44330347
Mean	0.1279965004
Median Absolute Deviation (MAD)	0
Skewness	3.778379347
Sum	1463
Variance	0.1436469612
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	10103	88.4%
1	1220	10.7%
2	89	0.8%
3	12	0.1%
4	3	< 0.1%
6	2	< 0.1%
5	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10103	88.4%
1	1220	10.7%
2	89	0.8%
3	12	0.1%
4	3	< 0.1%
5	1	< 0.1%
6	2	< 0.1%

Value	Count	Frequency (%)
6	2	< 0.1%
5	1	< 0.1%
4	3	< 0.1%
3	12	0.1%
2	89	0.8%
1	1220	10.7%
0	10103	88.4%

nb_dslash
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11355
1	75

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11355	99.3%
1	75	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11355	99.3%
1	75	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	11355	99.3%
1	75	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11355	99.3%
1	75	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11355	99.3%
1	75	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11355	99.3%
1	75	0.7%

http_in_path
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11280
1	129
2	10
4	9
3	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11280	98.7%
1	129	1.1%
2	10	0.1%
4	9	0.1%
3	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11280	98.7%
1	129	1.1%
2	10	0.1%
4	9	0.1%
3	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11280	98.7%
1	129	1.1%
2	10	0.1%
4	9	0.1%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11280	98.7%
1	129	1.1%
2	10	0.1%
4	9	0.1%
3	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11280	98.7%
1	129	1.1%
2	10	0.1%
4	9	0.1%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11280	98.7%
1	129	1.1%
2	10	0.1%
4	9	0.1%
3	2	< 0.1%

punycode
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11426
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11426	> 99.9%
1	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11426	> 99.9%
1	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11426	> 99.9%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11426	> 99.9%
1	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11426	> 99.9%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11426	> 99.9%
1	4	< 0.1%

port
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11403
1	27

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11403	99.8%
1	27	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11403	99.8%
1	27	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	11403	99.8%
1	27	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11403	99.8%
1	27	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11403	99.8%
1	27	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11403	99.8%
1	27	0.2%

tld_in_path
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10680
1	750

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10680	93.4%
1	750	6.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10680	93.4%
1	750	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	10680	93.4%
1	750	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10680	93.4%
1	750	6.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10680	93.4%
1	750	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10680	93.4%
1	750	6.6%

tld_in_subdomain
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10857
1	573

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10857	95.0%
1	573	5.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10857	95.0%
1	573	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	10857	95.0%
1	573	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10857	95.0%
1	573	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10857	95.0%
1	573	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10857	95.0%
1	573	5.0%

abnormal_subdomain
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11183
1	247

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11183	97.8%
1	247	2.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11183	97.8%
1	247	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	11183	97.8%
1	247	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11183	97.8%
1	247	2.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11183	97.8%
1	247	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11183	97.8%
1	247	2.2%

nb_subdomains
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

2	6178
3	3950
1	1302

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	1
3rd row	3
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	6178	54.1%
3	3950	34.6%
1	1302	11.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	6178	54.1%
3	3950	34.6%
1	1302	11.4%

Most occurring characters

Value	Count	Frequency (%)
2	6178	54.1%
3	3950	34.6%
1	1302	11.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	6178	54.1%
3	3950	34.6%
1	1302	11.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	6178	54.1%
3	3950	34.6%
1	1302	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	6178	54.1%
3	3950	34.6%
1	1302	11.4%

prefix_suffix
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	9116
1	2314

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9116	79.8%
1	2314	20.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	9116	79.8%
1	2314	20.2%

Most occurring characters

Value	Count	Frequency (%)
0	9116	79.8%
1	2314	20.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9116	79.8%
1	2314	20.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9116	79.8%
1	2314	20.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9116	79.8%
1	2314	20.2%

random_domain
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10478
1	952

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10478	91.7%
1	952	8.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10478	91.7%
1	952	8.3%

Most occurring characters

Value	Count	Frequency (%)
0	10478	91.7%
1	952	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10478	91.7%
1	952	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10478	91.7%
1	952	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10478	91.7%
1	952	8.3%

shortening_service
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10019
1	1411

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10019	87.7%
1	1411	12.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10019	87.7%
1	1411	12.3%

Most occurring characters

Value	Count	Frequency (%)
0	10019	87.7%
1	1411	12.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10019	87.7%
1	1411	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10019	87.7%
1	1411	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10019	87.7%
1	1411	12.3%

path_extension
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11428
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11428	> 99.9%
1	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11428	> 99.9%
1	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11428	> 99.9%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11428	> 99.9%
1	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11428	> 99.9%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11428	> 99.9%
1	2	< 0.1%

nb_redirection
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4982502187

Minimum	0
Maximum	6
Zeros	6775
Zeros (%)	59.3%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.6919069557
Coefficient of variation (CV)	1.388673662
Kurtosis	3.524335378
Mean	0.4982502187
Median Absolute Deviation (MAD)	0
Skewness	1.568452476
Sum	5695
Variance	0.4787352353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	6775	59.3%
1	3827	33.5%
2	662	5.8%
3	128	1.1%
4	31	0.3%
5	6	0.1%
6	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6775	59.3%
1	3827	33.5%
2	662	5.8%
3	128	1.1%
4	31	0.3%
5	6	0.1%
6	1	< 0.1%

Value	Count	Frequency (%)
6	1	< 0.1%
5	6	0.1%
4	31	0.3%
3	128	1.1%
2	662	5.8%
1	3827	33.5%
0	6775	59.3%

nb_external_redirection
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11394
1	36

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11394	99.7%
1	36	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11394	99.7%
1	36	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	11394	99.7%
1	36	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11394	99.7%
1	36	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11394	99.7%
1	36	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11394	99.7%
1	36	0.3%

length_words_raw
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	54
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.232808399

Minimum	1
Maximum	106
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	5
Q3	8
95-th percentile	14
Maximum	106
Range	105
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.572355118
Coefficient of variation (CV)	0.8940360045
Kurtosis	60.7624273
Mean	6.232808399
Median Absolute Deviation (MAD)	3
Skewness	5.36734996
Sum	71241
Variance	31.05114156
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	2556	22.4%
4	1157	10.1%
5	1094	9.6%
6	1088	9.5%
3	1080	9.4%
7	823	7.2%
8	647	5.7%
9	498	4.4%
10	419	3.7%
13	370	3.2%
Other values (44)	1698	14.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	354	3.1%
2	2556	22.4%
3	1080	9.4%
4	1157	10.1%
5	1094	9.6%
6	1088	9.5%
7	823	7.2%
8	647	5.7%
9	498	4.4%
10	419	3.7%

Value	Count	Frequency (%)
106	1	< 0.1%
96	2	< 0.1%
90	2	< 0.1%
81	1	< 0.1%
80	6	0.1%
68	1	< 0.1%
64	4	< 0.1%
63	1	< 0.1%
61	2	< 0.1%
60	1	< 0.1%

char_repeat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	55
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.927471566

Minimum	0
Maximum	146
Zeros	2361
Zeros (%)	20.7%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	4
95-th percentile	7
Maximum	146
Range	146
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	4.768935795
Coefficient of variation (CV)	1.629028903
Kurtosis	393.756615
Mean	2.927471566
Median Absolute Deviation (MAD)	2
Skewness	15.75678114
Sum	33461
Variance	22.74274862
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	3148	27.5%
0	2361	20.7%
1	1712	15.0%
4	1677	14.7%
2	875	7.7%
5	679	5.9%
6	381	3.3%
7	164	1.4%
8	123	1.1%
9	60	0.5%
Other values (45)	250	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2361	20.7%
1	1712	15.0%
2	875	7.7%
3	3148	27.5%
4	1677	14.7%
5	679	5.9%
6	381	3.3%
7	164	1.4%
8	123	1.1%
9	60	0.5%

Value	Count	Frequency (%)
146	2	< 0.1%
145	1	< 0.1%
144	1	< 0.1%
141	1	< 0.1%
101	1	< 0.1%
96	1	< 0.1%
85	1	< 0.1%
66	1	< 0.1%
61	1	< 0.1%
59	2	< 0.1%

shortest_words_raw
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.127296588

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	8
Maximum	31
Range	30
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.211571305
Coefficient of variation (CV)	0.7071831031
Kurtosis	15.7258904
Mean	3.127296588
Median Absolute Deviation (MAD)	1
Skewness	3.156658185
Sum	35745
Variance	4.891047639
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
3	4730	41.4%
2	3112	27.2%
1	1522	13.3%
4	631	5.5%
8	411	3.6%
5	265	2.3%
6	264	2.3%
7	160	1.4%
9	102	0.9%
11	57	0.5%
Other values (15)	176	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1522	13.3%
2	3112	27.2%
3	4730	41.4%
4	631	5.5%
5	265	2.3%
6	264	2.3%
7	160	1.4%
8	411	3.6%
9	102	0.9%
10	44	0.4%

Value	Count	Frequency (%)
31	1	< 0.1%
27	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
21	4	< 0.1%
20	6	0.1%
19	6	0.1%
18	6	0.1%
17	7	0.1%
16	13	0.1%

shortest_word_host
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.019772528

Minimum	1
Maximum	39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	6
95-th percentile	13
Maximum	39
Range	38
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.94157981
Coefficient of variation (CV)	0.7852108412
Kurtosis	6.957438136
Mean	5.019772528
Median Absolute Deviation (MAD)	0
Skewness	2.267936107
Sum	57376
Variance	15.5360514
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
3	5745	50.3%
2	873	7.6%
8	634	5.5%
4	601	5.3%
5	556	4.9%
6	474	4.1%
7	439	3.8%
1	408	3.6%
9	322	2.8%
10	285	2.5%
Other values (24)	1093	9.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	408	3.6%
2	873	7.6%
3	5745	50.3%
4	601	5.3%
5	556	4.9%
6	474	4.1%
7	439	3.8%
8	634	5.5%
9	322	2.8%
10	285	2.5%

Value	Count	Frequency (%)
39	4	< 0.1%
38	1	< 0.1%
33	1	< 0.1%
31	2	< 0.1%
30	2	< 0.1%
29	3	< 0.1%
28	2	< 0.1%
27	1	< 0.1%
26	3	< 0.1%
25	4	< 0.1%

shortest_word_path
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	33
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.398950131

Minimum	0
Maximum	40
Zeros	3215
Zeros (%)	28.1%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	3
95-th percentile	7
Maximum	40
Range	40
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.997808681
Coefficient of variation (CV)	1.249633597
Kurtosis	38.27818007
Mean	2.398950131
Median Absolute Deviation (MAD)	1
Skewness	4.687603636
Sum	27420
Variance	8.986856891
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	3215	28.1%
2	2617	22.9%
3	1941	17.0%
4	1258	11.0%
1	1162	10.2%
5	354	3.1%
6	297	2.6%
7	158	1.4%
8	105	0.9%
10	74	0.6%
Other values (23)	249	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3215	28.1%
1	1162	10.2%
2	2617	22.9%
3	1941	17.0%
4	1258	11.0%
5	354	3.1%
6	297	2.6%
7	158	1.4%
8	105	0.9%
9	66	0.6%

Value	Count	Frequency (%)
40	2	< 0.1%
37	2	< 0.1%
36	1	< 0.1%
32	28	0.2%
30	1	< 0.1%
29	2	< 0.1%
28	3	< 0.1%
26	1	< 0.1%
24	1	< 0.1%
23	3	< 0.1%

longest_words_raw
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	119
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.39387577

Minimum	2
Maximum	829
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	2
5-th percentile	6
Q1	9
median	11
Q3	16
95-th percentile	32
Maximum	829
Range	827
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	22.0836445
Coefficient of variation (CV)	1.434573387
Kurtosis	294.7805804
Mean	15.39387577
Median Absolute Deviation (MAD)	3
Skewness	13.53102354
Sum	175952
Variance	487.6873542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	1163	10.2%
10	1143	10.0%
11	983	8.6%
8	951	8.3%
12	823	7.2%
13	726	6.4%
7	700	6.1%
17	634	5.5%
14	554	4.8%
15	514	4.5%
Other values (109)	3239	28.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	5	< 0.1%
3	106	0.9%
4	135	1.2%
5	286	2.5%
6	416	3.6%
7	700	6.1%
8	951	8.3%
9	1163	10.2%
10	1143	10.0%
11	983	8.6%

Value	Count	Frequency (%)
829	1	< 0.1%
507	1	< 0.1%
492	1	< 0.1%
487	1	< 0.1%
406	1	< 0.1%
383	3	< 0.1%
301	3	< 0.1%
300	3	< 0.1%
288	10	0.1%
240	1	< 0.1%

longest_word_host
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	49
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.467979

Minimum	1
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	7
median	10
Q3	13
95-th percentile	19
Maximum	62
Range	61
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.932014659
Coefficient of variation (CV)	0.4711525174
Kurtosis	7.201449994
Mean	10.467979
Median Absolute Deviation (MAD)	3
Skewness	1.631076325
Sum	119649
Variance	24.3247686
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
9	1176	10.3%
8	1061	9.3%
7	1034	9.0%
10	994	8.7%
13	970	8.5%
6	910	8.0%
11	836	7.3%
12	691	6.0%
5	581	5.1%
14	520	4.5%
Other values (39)	2657	23.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	16	0.1%
2	37	0.3%
3	344	3.0%
4	378	3.3%
5	581	5.1%
6	910	8.0%
7	1034	9.0%
8	1061	9.3%
9	1176	10.3%
10	994	8.7%

Value	Count	Frequency (%)
62	1	< 0.1%
61	1	< 0.1%
60	1	< 0.1%
54	1	< 0.1%
47	1	< 0.1%
44	2	< 0.1%
43	2	< 0.1%
42	3	< 0.1%
41	1	< 0.1%
40	1	< 0.1%

longest_word_path
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	120
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.56150481

Minimum	0
Maximum	829
Zeros	3215
Zeros (%)	28.1%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	7
Q3	11
95-th percentile	32
Maximum	829
Range	829
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	23.07788337
Coefficient of variation (CV)	2.185094244
Kurtosis	256.859316
Mean	10.56150481
Median Absolute Deviation (MAD)	5
Skewness	12.39572976
Sum	120718
Variance	532.5887009
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3215	28.1%
7	983	8.6%
8	930	8.1%
10	794	6.9%
9	747	6.5%
6	539	4.7%
5	538	4.7%
11	468	4.1%
17	405	3.5%
32	380	3.3%
Other values (110)	2431	21.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3215	28.1%
1	41	0.4%
2	130	1.1%
3	157	1.4%
4	306	2.7%
5	538	4.7%
6	539	4.7%
7	983	8.6%
8	930	8.1%
9	747	6.5%

Value	Count	Frequency (%)
829	1	< 0.1%
507	1	< 0.1%
492	1	< 0.1%
487	1	< 0.1%
406	1	< 0.1%
383	3	< 0.1%
301	3	< 0.1%
300	3	< 0.1%
288	10	0.1%
240	1	< 0.1%

avg_words_raw
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	896
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.258881692

Minimum	2
Maximum	128.25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5.25
median	6.5
Q3	8
95-th percentile	13.2
Maximum	128.25
Range	126.25
Interquartile range (IQR)	2.75

Descriptive statistics

Standard deviation	4.145826506
Coefficient of variation (CV)	0.5711384593
Kurtosis	189.4561432
Mean	7.258881692
Median Absolute Deviation (MAD)	1.5
Skewness	9.548721745
Sum	82969.01774
Variance	17.18787742
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	536	4.7%
5	494	4.3%
7	465	4.1%
8	369	3.2%
6.5	342	3.0%
5.5	317	2.8%
9	255	2.2%
4	245	2.1%
4.5	238	2.1%
7.5	234	2.0%
Other values (886)	7935	69.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	14	0.1%
2.142857143	1	< 0.1%
2.235294118	1	< 0.1%
2.25	3	< 0.1%
2.263157895	1	< 0.1%
2.292682927	1	< 0.1%
2.3	2	< 0.1%
2.333333333	2	< 0.1%
2.375	1	< 0.1%
2.428571429	3	< 0.1%

Value	Count	Frequency (%)
128.25	1	< 0.1%
106.5	1	< 0.1%
100	3	< 0.1%
83.36363636	1	< 0.1%
74	1	< 0.1%
68.125	1	< 0.1%
61	2	< 0.1%
47.25	1	< 0.1%
45.75	2	< 0.1%
42.625	1	< 0.1%

avg_word_host
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	174
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.678074522

Minimum	1
Maximum	39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3.5
Q1	5.25
median	7
Q3	9
95-th percentile	14.5
Maximum	39
Range	38
Interquartile range (IQR)	3.75

Descriptive statistics

Standard deviation	3.578434671
Coefficient of variation (CV)	0.4660588616
Kurtosis	5.93341247
Mean	7.678074522
Median Absolute Deviation (MAD)	2
Skewness	1.746079562
Sum	87760.39179
Variance	12.80519469
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	845	7.4%
5.5	828	7.2%
6	796	7.0%
7	765	6.7%
8	665	5.8%
6.5	573	5.0%
4	504	4.4%
9	481	4.2%
7.5	474	4.1%
4.5	461	4.0%
Other values (164)	5038	44.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	16	0.1%
1.5	1	< 0.1%
1.666666667	7	0.1%
1.75	2	< 0.1%
2	39	0.3%
2.25	18	0.2%
2.333333333	6	0.1%
2.5	61	0.5%
2.6	1	< 0.1%
2.666666667	10	0.1%

Value	Count	Frequency (%)
39	4	< 0.1%
38	1	< 0.1%
33	1	< 0.1%
31	2	< 0.1%
30	2	< 0.1%
29.5	1	< 0.1%
29	3	< 0.1%
28	2	< 0.1%
27	1	< 0.1%
26	3	< 0.1%

avg_word_path
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	757
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.092424702

Minimum	0
Maximum	250
Zeros	3215
Zeros (%)	28.1%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4.857142857
Q3	6.714285714
95-th percentile	13
Maximum	250
Range	250
Interquartile range (IQR)	6.714285714

Descriptive statistics

Standard deviation	7.14704972
Coefficient of variation (CV)	1.403466941
Kurtosis	336.1082963
Mean	5.092424702
Median Absolute Deviation (MAD)	2.476190476
Skewness	13.44674137
Sum	58206.41434
Variance	51.0803197
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3215	28.1%
5	470	4.1%
6	406	3.6%
4	397	3.5%
7	266	2.3%
7.375	217	1.9%
4.5	215	1.9%
5.5	209	1.8%
3	189	1.7%
6.5	159	1.4%
Other values (747)	5687	49.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3215	28.1%
1	41	0.4%
1.5	3	< 0.1%
1.666666667	2	< 0.1%
2	140	1.2%
2.051282051	1	< 0.1%
2.111111111	1	< 0.1%
2.166666667	1	< 0.1%
2.236363636	1	< 0.1%
2.25	4	< 0.1%

Value	Count	Frequency (%)
250	1	< 0.1%
206	1	< 0.1%
194.5	3	< 0.1%
118.5	2	< 0.1%
115.4	1	< 0.1%
103.5	1	< 0.1%
96.22222222	1	< 0.1%
86.83333333	1	< 0.1%
86.5	3	< 0.1%
72.5	3	< 0.1%

phish_hints
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3277340332

Minimum	0
Maximum	10
Zeros	9389
Zeros (%)	82.1%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.842600352
Coefficient of variation (CV)	2.57098826
Kurtosis	12.5187366
Mean	0.3277340332
Median Absolute Deviation (MAD)	0
Skewness	3.216484397
Sum	3746
Variance	0.7099753532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	9389	82.1%
1	1079	9.4%
2	460	4.0%
3	325	2.8%
4	136	1.2%
5	28	0.2%
6	9	0.1%
10	2	< 0.1%
7	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9389	82.1%
1	1079	9.4%
2	460	4.0%
3	325	2.8%
4	136	1.2%
5	28	0.2%
6	9	0.1%
7	2	< 0.1%
10	2	< 0.1%

Value	Count	Frequency (%)
10	2	< 0.1%
7	2	< 0.1%
6	9	0.1%
5	28	0.2%
4	136	1.2%
3	325	2.8%
2	460	4.0%
1	1079	9.4%
0	9389	82.1%

domain_in_brand
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10239
1	1191

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10239	89.6%
1	1191	10.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10239	89.6%
1	1191	10.4%

Most occurring characters

Value	Count	Frequency (%)
0	10239	89.6%
1	1191	10.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10239	89.6%
1	1191	10.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10239	89.6%
1	1191	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10239	89.6%
1	1191	10.4%

brand_in_subdomain
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11383
1	47

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11383	99.6%
1	47	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11383	99.6%
1	47	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	11383	99.6%
1	47	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11383	99.6%
1	47	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11383	99.6%
1	47	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11383	99.6%
1	47	0.4%

brand_in_path
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11374
1	56

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11374	99.5%
1	56	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11374	99.5%
1	56	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	11374	99.5%
1	56	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11374	99.5%
1	56	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11374	99.5%
1	56	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11374	99.5%
1	56	0.5%

suspecious_tld
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11225
1	205

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11225	98.2%
1	205	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11225	98.2%
1	205	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	11225	98.2%
1	205	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11225	98.2%
1	205	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11225	98.2%
1	205	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11225	98.2%
1	205	1.8%

statistical_report
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11053
2	306
1	71

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11053	96.7%
2	306	2.7%
1	71	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11053	96.7%
2	306	2.7%
1	71	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	11053	96.7%
2	306	2.7%
1	71	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11053	96.7%
2	306	2.7%
1	71	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11053	96.7%
2	306	2.7%
1	71	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11053	96.7%
2	306	2.7%
1	71	0.6%

nb_hyperlinks
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	691
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.18976378

Minimum	0
Maximum	4659
Zeros	1381
Zeros (%)	12.1%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	9
median	34
Q3	101
95-th percentile	323
Maximum	4659
Range	4659
Interquartile range (IQR)	92

Descriptive statistics

Standard deviation	166.7582535
Coefficient of variation (CV)	1.912589807
Kurtosis	117.9666629
Mean	87.18976378
Median Absolute Deviation (MAD)	32
Skewness	7.675060655
Sum	996579
Variance	27808.31511
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1381	12.1%
4	344	3.0%
51	332	2.9%
1	328	2.9%
14	258	2.3%
21	206	1.8%
22	189	1.7%
7	171	1.5%
8	166	1.5%
6	143	1.3%
Other values (681)	7912	69.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1381	12.1%
1	328	2.9%
2	63	0.6%
3	113	1.0%
4	344	3.0%
5	141	1.2%
6	143	1.3%
7	171	1.5%
8	166	1.5%
9	122	1.1%

Value	Count	Frequency (%)
4659	1	< 0.1%
3822	1	< 0.1%
3148	1	< 0.1%
2935	1	< 0.1%
2726	1	< 0.1%
2228	1	< 0.1%
2205	1	< 0.1%
2169	1	< 0.1%
1905	1	< 0.1%
1903	1	< 0.1%

ratio_intHyperlinks
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	3131
Distinct (%)	27.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6024572495

Minimum	0
Maximum	1
Zeros	1886
Zeros (%)	16.5%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.2249909387
median	0.7434423815
Q3	0.9447668415
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0.7197759027

Descriptive statistics

Standard deviation	0.3764744871
Coefficient of variation (CV)	0.6248982603
Kurtosis	-1.297591151
Mean	0.6024572495
Median Absolute Deviation (MAD)	0.2523019915
Skewness	-0.5280091394
Sum	6886.086362
Variance	0.1417330395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1886	16.5%
1	1690	14.8%
0.071428571	184	1.6%
0.5	126	1.1%
0.19047619	113	1.0%
0.666666667	98	0.9%
0.857142857	98	0.9%
0.333333333	97	0.8%
0.75	80	0.7%
0.181818182	66	0.6%
Other values (3121)	6992	61.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1886	16.5%
0.008849558	1	< 0.1%
0.009803922	1	< 0.1%
0.011928429	5	< 0.1%
0.015625	1	< 0.1%
0.016441006	1	< 0.1%
0.016666667	1	< 0.1%
0.017241379	1	< 0.1%
0.021008403	1	< 0.1%
0.021276596	1	< 0.1%

Value	Count	Frequency (%)
1	1690	14.8%
0.999359385	1	< 0.1%
0.998461538	1	< 0.1%
0.997795738	1	< 0.1%
0.997672614	1	< 0.1%
0.997265269	1	< 0.1%
0.99690881	1	< 0.1%
0.99687011	1	< 0.1%
0.996865204	1	< 0.1%
0.996802558	1	< 0.1%

ratio_extHyperlinks
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	3131
Distinct (%)	27.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2767203533

Minimum	0
Maximum	1
Zeros	3071
Zeros (%)	26.9%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.131147541
Q3	0.4748397435
95-th percentile	0.961538462
Maximum	1
Range	1
Interquartile range (IQR)	0.4748397435

Descriptive statistics

Standard deviation	0.3199582523
Coefficient of variation (CV)	1.156251243
Kurtosis	-0.3202850408
Mean	0.2767203533
Median Absolute Deviation (MAD)	0.131147541
Skewness	1.008455407
Sum	3162.913638
Variance	0.1023732832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3071	26.9%
1	505	4.4%
0.928571429	184	1.6%
0.5	126	1.1%
0.80952381	113	1.0%
0.333333333	98	0.9%
0.142857143	98	0.9%
0.666666667	97	0.8%
0.25	80	0.7%
0.818181818	66	0.6%
Other values (3121)	6992	61.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3071	26.9%
0.000640615	1	< 0.1%
0.001538462	1	< 0.1%
0.002204262	1	< 0.1%
0.002327386	1	< 0.1%
0.002734731	1	< 0.1%
0.00309119	1	< 0.1%
0.00312989	1	< 0.1%
0.003134796	1	< 0.1%
0.003197442	1	< 0.1%

Value	Count	Frequency (%)
1	505	4.4%
0.991150442	1	< 0.1%
0.990196078	1	< 0.1%
0.988071571	5	< 0.1%
0.984375	1	< 0.1%
0.983558994	1	< 0.1%
0.983333333	1	< 0.1%
0.982758621	1	< 0.1%
0.978991597	1	< 0.1%
0.978723404	1	< 0.1%

ratio_nullHyperlinks
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11430

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11430	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11430	100.0%

nb_extCSS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	33
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.784864392

Minimum	0
Maximum	124
Zeros	7828
Zeros (%)	68.5%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	124
Range	124
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.758801909
Coefficient of variation (CV)	3.51500455
Kurtosis	887.2521011
Mean	0.784864392
Median Absolute Deviation (MAD)	0
Skewness	23.49547911
Sum	8971
Variance	7.610987973
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	7828	68.5%
1	1860	16.3%
2	723	6.3%
3	466	4.1%
4	164	1.4%
5	119	1.0%
6	76	0.7%
7	35	0.3%
8	29	0.3%
9	27	0.2%
Other values (23)	103	0.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7828	68.5%
1	1860	16.3%
2	723	6.3%
3	466	4.1%
4	164	1.4%
5	119	1.0%
6	76	0.7%
7	35	0.3%
8	29	0.3%
9	27	0.2%

Value	Count	Frequency (%)
124	1	< 0.1%
123	1	< 0.1%
95	1	< 0.1%
71	2	< 0.1%
38	1	< 0.1%
31	2	< 0.1%
27	1	< 0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%

ratio_intRedirection
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11430

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11430	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11430	100.0%

ratio_extRedirection
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	894
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1589256155

Minimum	0
Maximum	2
Zeros	6143
Zeros (%)	53.7%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.230769231
95-th percentile	0.7809610984
Maximum	2
Range	2
Interquartile range (IQR)	0.230769231

Descriptive statistics

Standard deviation	0.2664370492
Coefficient of variation (CV)	1.676489019
Kurtosis	6.639212801
Mean	0.1589256155
Median Absolute Deviation (MAD)	0
Skewness	2.296810119
Sum	1816.519785
Variance	0.07098870119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6143	53.7%
1	290	2.5%
0.5	207	1.8%
0.333333333	164	1.4%
0.25	159	1.4%
0.285714286	145	1.3%
0.846153846	131	1.1%
0.2	121	1.1%
0.166666667	118	1.0%
0.125	106	0.9%
Other values (884)	3846	33.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6143	53.7%
0.002475248	1	< 0.1%
0.004237288	1	< 0.1%
0.004524887	1	< 0.1%
0.006369427	1	< 0.1%
0.006535948	1	< 0.1%
0.006666667	1	< 0.1%
0.006802721	1	< 0.1%
0.006849315	3	< 0.1%
0.006944444	1	< 0.1%

Value	Count	Frequency (%)
2	21	0.2%
1.922196796	1	< 0.1%
1.810810811	1	< 0.1%
1.5	8	0.1%
1.454545455	1	< 0.1%
1.444444444	1	< 0.1%
1.419354839	1	< 0.1%
1.411764706	1	< 0.1%
1.333333333	2	< 0.1%
1.294871795	1	< 0.1%

ratio_intErrors
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11430

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11430	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11430	100.0%

ratio_extErrors
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	635
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.06246862847

Minimum	0
Maximum	1
Zeros	8121
Zeros (%)	71.0%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.034482759
95-th percentile	0.4
Maximum	1
Range	1
Interquartile range (IQR)	0.034482759

Descriptive statistics

Standard deviation	0.1562086786
Coefficient of variation (CV)	2.500594016
Kurtosis	13.62793409
Mean	0.06246862847
Median Absolute Deviation (MAD)	0
Skewness	3.510797527
Sum	714.0164234
Variance	0.02440115125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8121	71.0%
0.615384615	130	1.1%
0.25	103	0.9%
0.142857143	101	0.9%
0.2	97	0.8%
0.166666667	90	0.8%
0.125	85	0.7%
1	85	0.7%
0.083333333	76	0.7%
0.333333333	75	0.7%
Other values (625)	2467	21.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8121	71.0%
0.00228833	1	< 0.1%
0.004237288	1	< 0.1%
0.004291845	1	< 0.1%
0.004366812	1	< 0.1%
0.004672897	1	< 0.1%
0.004716981	1	< 0.1%
0.004926108	1	< 0.1%
0.004950495	1	< 0.1%
0.005434783	1	< 0.1%

Value	Count	Frequency (%)
1	85	0.7%
0.979166667	2	< 0.1%
0.95	1	< 0.1%
0.933333333	1	< 0.1%
0.9	1	< 0.1%
0.875	4	< 0.1%
0.857142857	1	< 0.1%
0.851851852	1	< 0.1%
0.846153846	1	< 0.1%
0.84	2	< 0.1%

login_form
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10703
1	727

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	10703	93.6%
1	727	6.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10703	93.6%
1	727	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	10703	93.6%
1	727	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10703	93.6%
1	727	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10703	93.6%
1	727	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10703	93.6%
1	727	6.4%

external_favicon
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	6376
1	5054

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6376	55.8%
1	5054	44.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6376	55.8%
1	5054	44.2%

Most occurring characters

Value	Count	Frequency (%)
0	6376	55.8%
1	5054	44.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6376	55.8%
1	5054	44.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6376	55.8%
1	5054	44.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6376	55.8%
1	5054	44.2%

links_in_tags
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	473
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.97821079

Minimum	0
Maximum	100
Zeros	3403
Zeros (%)	29.8%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	60
Q3	98.06100357
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	98.06100357

Descriptive statistics

Standard deviation	41.52314377
Coefficient of variation (CV)	0.7988567351
Kurtosis	-1.667946113
Mean	51.97821079
Median Absolute Deviation (MAD)	40
Skewness	-0.1507697409
Sum	594110.9493
Variance	1724.171468
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3403	29.8%
100	2851	24.9%
50	453	4.0%
66.66666667	345	3.0%
75	195	1.7%
33.33333333	169	1.5%
80	138	1.2%
60	129	1.1%
83.33333333	114	1.0%
81.81818182	106	0.9%
Other values (463)	3527	30.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3403	29.8%
0.208768267	1	< 0.1%
0.209205021	1	< 0.1%
1.369863014	1	< 0.1%
1.408450704	1	< 0.1%
1.5625	1	< 0.1%
1.754385965	1	< 0.1%
1.886792453	1	< 0.1%
1.941747573	1	< 0.1%
1.960784314	6	0.1%

Value	Count	Frequency (%)
100	2851	24.9%
99.04761905	1	< 0.1%
98.57142857	1	< 0.1%
98.27586207	1	< 0.1%
98.18181818	2	< 0.1%
98.14814815	1	< 0.1%
98.07692308	1	< 0.1%
98.01324503	1	< 0.1%
97.91666667	1	< 0.1%
97.87234043	1	< 0.1%

submit_email
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11430

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11430	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11430	100.0%

ratio_intMedia
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	490
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.87044363

Minimum	0
Maximum	100
Zeros	5469
Zeros (%)	47.8%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	11.11111111
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	100

Descriptive statistics

Standard deviation	46.24989655
Coefficient of variation (CV)	1.078829436
Kurtosis	-1.82129959
Mean	42.87044363
Median Absolute Deviation (MAD)	11.11111111
Skewness	0.2758129688
Sum	490009.1707
Variance	2139.05293
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5469	47.8%
100	3461	30.3%
50	268	2.3%
20	149	1.3%
80	131	1.1%
33.33333333	110	1.0%
66.66666667	108	0.9%
16.66666667	85	0.7%
75	75	0.7%
83.33333333	70	0.6%
Other values (480)	1504	13.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5469	47.8%
0.581395349	1	< 0.1%
0.655737705	1	< 0.1%
0.877192982	1	< 0.1%
0.909090909	1	< 0.1%
0.934579439	1	< 0.1%
0.980392157	3	< 0.1%
1	1	< 0.1%
1.136363636	1	< 0.1%
1.298701299	3	< 0.1%

Value	Count	Frequency (%)
100	3461	30.3%
99.78586724	1	< 0.1%
99.6978852	1	< 0.1%
99.65870307	1	< 0.1%
99.65156794	1	< 0.1%
99.60238569	1	< 0.1%
99.49494949	2	< 0.1%
99.49238579	1	< 0.1%
99.47916667	1	< 0.1%
99.45799458	1	< 0.1%

ratio_extMedia
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	490
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.23629302

Minimum	0
Maximum	100
Zeros	7335
Zeros (%)	64.2%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	33.33333333
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	33.33333333

Descriptive statistics

Standard deviation	38.38657665
Coefficient of variation (CV)	1.652009493
Kurtosis	-0.1957378857
Mean	23.23629302
Median Absolute Deviation (MAD)	0
Skewness	1.265615285
Sum	265590.8293
Variance	1473.529267
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7335	64.2%
100	1595	14.0%
50	268	2.3%
80	149	1.3%
20	131	1.1%
66.66666667	110	1.0%
33.33333333	108	0.9%
83.33333333	85	0.7%
25	75	0.7%
16.66666667	70	0.6%
Other values (480)	1504	13.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7335	64.2%
0.214132762	1	< 0.1%
0.302114804	1	< 0.1%
0.341296928	1	< 0.1%
0.348432056	1	< 0.1%
0.397614314	1	< 0.1%
0.505050505	2	< 0.1%
0.507614213	1	< 0.1%
0.520833333	1	< 0.1%
0.54200542	1	< 0.1%

Value	Count	Frequency (%)
100	1595	14.0%
99.41860465	1	< 0.1%
99.3442623	1	< 0.1%
99.12280702	1	< 0.1%
99.09090909	1	< 0.1%
99.06542056	1	< 0.1%
99.01960784	3	< 0.1%
99	1	< 0.1%
98.86363636	1	< 0.1%
98.7012987	3	< 0.1%

sfh
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11430

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11430	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11430	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11430	100.0%

iframe
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11415
1	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11415	99.9%
1	15	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11415	99.9%
1	15	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11415	99.9%
1	15	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11415	99.9%
1	15	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11415	99.9%
1	15	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11415	99.9%
1	15	0.1%

popup_window
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11361
1	69

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11361	99.4%
1	69	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11361	99.4%
1	69	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	11361	99.4%
1	69	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11361	99.4%
1	69	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11361	99.4%
1	69	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11361	99.4%
1	69	0.6%

safe_anchor
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1083
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.06392173

Minimum	0
Maximum	100
Zeros	4438
Zeros (%)	38.8%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	23.29457364
Q3	75
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	75

Descriptive statistics

Standard deviation	39.07338516
Coefficient of variation (CV)	1.054216158
Kurtosis	-1.349056923
Mean	37.06392173
Median Absolute Deviation (MAD)	23.29457364
Skewness	0.5130752182
Sum	423640.6254
Variance	1526.729428
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4438	38.8%
100	1732	15.2%
50	337	2.9%
25	319	2.8%
14.28571429	225	2.0%
33.33333333	198	1.7%
66.66666667	156	1.4%
20	128	1.1%
60	105	0.9%
75	102	0.9%
Other values (1073)	3690	32.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4438	38.8%
0.17921147	1	< 0.1%
0.64516129	1	< 0.1%
0.729927007	1	< 0.1%
0.746268657	1	< 0.1%
0.775193798	1	< 0.1%
0.909090909	1	< 0.1%
1.136363636	1	< 0.1%
1.234567901	1	< 0.1%
1.25	1	< 0.1%

Value	Count	Frequency (%)
100	1732	15.2%
99.81884058	1	< 0.1%
99.75124378	1	< 0.1%
99.72222222	1	< 0.1%
99.65014577	1	< 0.1%
99.62216625	1	< 0.1%
99.54954955	1	< 0.1%
99.53012714	1	< 0.1%
99.52380952	1	< 0.1%
99.31034483	1	< 0.1%

onmouseover
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11417
1	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11417	99.9%
1	13	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11417	99.9%
1	13	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11417	99.9%
1	13	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11417	99.9%
1	13	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11417	99.9%
1	13	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11417	99.9%
1	13	0.1%

right_clic
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11414
1	16

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11414	99.9%
1	16	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11414	99.9%
1	16	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11414	99.9%
1	16	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11414	99.9%
1	16	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11414	99.9%
1	16	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11414	99.9%
1	16	0.1%

empty_title
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10004
1	1426

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10004	87.5%
1	1426	12.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10004	87.5%
1	1426	12.5%

Most occurring characters

Value	Count	Frequency (%)
0	10004	87.5%
1	1426	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10004	87.5%
1	1426	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10004	87.5%
1	1426	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10004	87.5%
1	1426	12.5%

domain_in_title
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

1	8868
0	2562

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	8868	77.6%
0	2562	22.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	8868	77.6%
0	2562	22.4%

Most occurring characters

Value	Count	Frequency (%)
1	8868	77.6%
0	2562	22.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	8868	77.6%
0	2562	22.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	8868	77.6%
0	2562	22.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	8868	77.6%
0	2562	22.4%

domain_with_copyright
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	6406
1	5024

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	6406	56.0%
1	5024	44.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6406	56.0%
1	5024	44.0%

Most occurring characters

Value	Count	Frequency (%)
0	6406	56.0%
1	5024	44.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6406	56.0%
1	5024	44.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6406	56.0%
1	5024	44.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6406	56.0%
1	5024	44.0%

whois_registered_domain
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	10597
1	833

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10597	92.7%
1	833	7.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10597	92.7%
1	833	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	10597	92.7%
1	833	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10597	92.7%
1	833	7.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10597	92.7%
1	833	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10597	92.7%
1	833	7.3%

domain_registration_length
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1659
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	492.532196

Minimum	-1
Maximum	29829
Zeros	1404
Zeros (%)	12.3%
Negative	46
Negative (%)	0.4%
Memory size	89.4 KiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	84
median	242
Q3	449
95-th percentile	2430
Maximum	29829
Range	29830
Interquartile range (IQR)	365

Descriptive statistics

Standard deviation	814.7694152
Coefficient of variation (CV)	1.654246
Kurtosis	294.6779341
Mean	492.532196
Median Absolute Deviation (MAD)	163
Skewness	9.819607445
Sum	5629643
Variance	663849.1999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1404	12.3%
25	270	2.4%
374	208	1.8%
228	117	1.0%
217	89	0.8%
373	70	0.6%
371	63	0.6%
14	59	0.5%
902	59	0.5%
122	58	0.5%
Other values (1649)	9033	79.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	46	0.4%
0	1404	12.3%
1	5	< 0.1%
2	8	0.1%
3	8	0.1%
4	9	0.1%
5	7	0.1%
6	7	0.1%
7	17	0.1%
8	5	< 0.1%

Value	Count	Frequency (%)
29829	1	< 0.1%
29725	1	< 0.1%
7102	1	< 0.1%
3621	1	< 0.1%
3611	1	< 0.1%
3591	1	< 0.1%
3571	1	< 0.1%
3569	1	< 0.1%
3568	1	< 0.1%
3567	1	< 0.1%

domain_age
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4430
Distinct (%)	38.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4062.543745

Minimum	-12
Maximum	12874
Zeros	6
Zeros (%)	0.1%
Negative	1837
Negative (%)	16.1%
Memory size	89.4 KiB

Quantile statistics

Minimum	-12
5-th percentile	-1
Q1	972.25
median	3993
Q3	7026.75
95-th percentile	8759
Maximum	12874
Range	12886
Interquartile range (IQR)	6054.5

Descriptive statistics

Standard deviation	3107.7846
Coefficient of variation (CV)	0.7649848952
Kurtosis	-1.097304785
Mean	4062.543745
Median Absolute Deviation (MAD)	3025.5
Skewness	0.1641867389
Sum	46434875
Variance	9658325.123
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	1781	15.6%
7295	197	1.7%
3993	156	1.4%
3992	117	1.0%
5616	73	0.6%
4003	70	0.6%
5627	67	0.6%
7296	67	0.6%
8348	62	0.5%
7133	60	0.5%
Other values (4420)	8780	76.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-12	1	< 0.1%
-2	55	0.5%
-1	1781	15.6%
0	6	0.1%
1	24	0.2%
2	13	0.1%
3	4	< 0.1%
4	7	0.1%
5	14	0.1%
6	3	< 0.1%

Value	Count	Frequency (%)
12874	1	< 0.1%
12873	2	< 0.1%
12872	1	< 0.1%
12848	1	< 0.1%
12844	2	< 0.1%
12811	1	< 0.1%
12805	1	< 0.1%
12795	1	< 0.1%
12794	1	< 0.1%
12790	1	< 0.1%

web_traffic
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	4744
Distinct (%)	41.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	856756.6433

Minimum	0
Maximum	10767986
Zeros	4444
Zeros (%)	38.9%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1651
Q3	373845.5
95-th percentile	5707171
Maximum	10767986
Range	10767986
Interquartile range (IQR)	373845.5

Descriptive statistics

Standard deviation	1995606.022
Coefficient of variation (CV)	2.329256548
Kurtosis	7.306645061
Mean	856756.6433
Median Absolute Deviation (MAD)	1651
Skewness	2.779269268
Sum	9792728433
Variance	3.982443394 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4444	38.9%
5707171	176	1.5%
12	163	1.4%
1	148	1.3%
5697976	91	0.8%
5816617	58	0.5%
2	42	0.4%
8	38	0.3%
22211	37	0.3%
4365	36	0.3%
Other values (4734)	6197	54.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4444	38.9%
1	148	1.3%
2	42	0.4%
4	1	< 0.1%
8	38	0.3%
11	1	< 0.1%
12	163	1.4%
13	19	0.2%
15	4	< 0.1%
16	1	< 0.1%

Value	Count	Frequency (%)
10767986	1	< 0.1%
10749999	1	< 0.1%
10745722	1	< 0.1%
10744976	1	< 0.1%
10725245	1	< 0.1%
10718227	1	< 0.1%
10696810	1	< 0.1%
10687767	1	< 0.1%
10684284	1	< 0.1%
10675927	1	< 0.1%

dns_record
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

0	11200
1	230

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11200	98.0%
1	230	2.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11200	98.0%
1	230	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	11200	98.0%
1	230	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11200	98.0%
1	230	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11200	98.0%
1	230	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11200	98.0%
1	230	2.0%

google_index
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

1	6103
0	5327

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	6103	53.4%
0	5327	46.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	6103	53.4%
0	5327	46.6%

Most occurring characters

Value	Count	Frequency (%)
1	6103	53.4%
0	5327	46.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	6103	53.4%
0	5327	46.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	11430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6103	53.4%
0	5327	46.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	6103	53.4%
0	5327	46.6%

page_rank
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.185739283

Minimum	0
Maximum	10
Zeros	2666
Zeros (%)	23.3%
Negative	0
Negative (%)	0.0%
Memory size	89.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	7
Maximum	10
Range	10
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.53695541
Coefficient of variation (CV)	0.7963474675
Kurtosis	-0.3863146639
Mean	3.185739283
Median Absolute Deviation (MAD)	2
Skewness	0.4460310293
Sum	36413
Variance	6.436142751
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	2666	23.3%
5	2057	18.0%
2	1553	13.6%
4	1380	12.1%
3	1232	10.8%
1	735	6.4%
6	727	6.4%
7	509	4.5%
10	269	2.4%
8	262	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2666	23.3%
1	735	6.4%
2	1553	13.6%
3	1232	10.8%
4	1380	12.1%
5	2057	18.0%
6	727	6.4%
7	509	4.5%
8	262	2.3%
9	40	0.3%

Value	Count	Frequency (%)
10	269	2.4%
9	40	0.3%
8	262	2.3%
7	509	4.5%
6	727	6.4%
5	2057	18.0%
4	1380	12.1%
3	1232	10.8%
2	1553	13.6%
1	735	6.4%

status
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.4 KiB

legitimate	5715
phishing	5715

Length

Max length	10
Median length	9
Mean length	9
Min length	8

Characters and Unicode

Total characters	102870
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	legitimate
2nd row	phishing
3rd row	phishing
4th row	legitimate
5th row	legitimate

Common Values

Value	Count	Frequency (%)
legitimate	5715	50.0%
phishing	5715	50.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
legitimate	5715	50.0%
phishing	5715	50.0%

Most occurring characters

Value	Count	Frequency (%)
i	22860	22.2%
e	11430	11.1%
g	11430	11.1%
t	11430	11.1%
h	11430	11.1%
l	5715	5.6%
m	5715	5.6%
a	5715	5.6%
p	5715	5.6%
s	5715	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	102870	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	22860	22.2%
e	11430	11.1%
g	11430	11.1%
t	11430	11.1%
h	11430	11.1%
l	5715	5.6%
m	5715	5.6%
a	5715	5.6%
p	5715	5.6%
s	5715	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102870	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	22860	22.2%
e	11430	11.1%
g	11430	11.1%
t	11430	11.1%
h	11430	11.1%
l	5715	5.6%
m	5715	5.6%
a	5715	5.6%
p	5715	5.6%
s	5715	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	102870	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	22860	22.2%
e	11430	11.1%
g	11430	11.1%
t	11430	11.1%
h	11430	11.1%
l	5715	5.6%
m	5715	5.6%
a	5715	5.6%
p	5715	5.6%
s	5715	5.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Matrix

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	url	ip	nb_www	nb_com	tld_in_subdomain	nb_subdomains	prefix_suffix	shortening_service	nb_redirection	length_words_raw	char_repeat	shortest_words_raw	shortest_word_host	shortest_word_path	longest_words_raw	longest_word_host	longest_word_path	avg_words_raw	avg_word_host	avg_word_path	phish_hints	domain_in_brand	nb_hyperlinks	ratio_intHyperlinks	ratio_extHyperlinks	nb_extCSS	ratio_extRedirection	ratio_extErrors	login_form	external_favicon	links_in_tags	ratio_intMedia	ratio_extMedia	safe_anchor	domain_in_title	domain_with_copyright	whois_registered_domain	domain_registration_length	domain_age	web_traffic	dns_record	google_index	page_rank	status
0	http://www.crestonwood.com/router.php	0	1	0	0	3	0	0	0	4	4	3	3	3	11	11	6	5.750000	7.0	4.500000	0	0	17	0.529412	0.470588	0	0.875000	0.500000	0	0	80.000000	100.000000	0.000000	0.000000	0	1	0	45	-1	0	1	1	4	legitimate
1	http://shadetreetechnology.com/V4/validation/a111aedc8ae390eabcfa130e041a10a4	1	0	0	0	1	0	0	1	4	4	2	19	2	32	19	32	15.750000	19.0	14.666667	0	0	30	0.966667	0.033333	0	0.000000	0.000000	0	0	100.000000	80.000000	20.000000	100.000000	1	0	0	77	5767	0	0	1	2	phishing
2	https://support-appleld.com.secureupdate.duilawyeryork.com/ap/89e6a3b4b063b8d/?cmd=_update&dispatch=89e6a3b4b063b8d1b&locale=_	1	0	1	1	3	1	0	1	12	2	2	3	2	17	13	17	8.250000	8.4	8.142857	0	0	4	1.000000	0.000000	0	0.000000	0.000000	0	0	100.000000	0.000000	0.000000	100.000000	1	0	0	14	4004	5828815	0	1	0	phishing
3	http://rgipt.ac.in	0	0	0	0	2	0	0	1	1	0	5	5	0	5	5	0	5.000000	5.0	0.000000	0	0	149	0.973154	0.026846	0	0.250000	0.250000	0	0	100.000000	96.428571	3.571429	62.500000	1	0	0	62	-1	107721	0	0	3	legitimate
4	http://www.iracing.com/tracks/gateway-motorsports-park/	0	1	0	0	2	0	0	1	6	3	3	3	4	11	7	11	6.333333	5.0	7.000000	0	0	102	0.470588	0.529412	0	0.537037	0.018519	1	0	76.470588	0.000000	100.000000	0.000000	0	1	0	224	8175	8725	0	0	6	legitimate
5	http://appleid.apple.com-app.es/	0	0	1	0	3	1	0	1	4	3	3	3	0	7	7	0	4.500000	4.5	0.000000	0	0	10	0.300000	0.700000	0	0.571429	0.000000	0	0	100.000000	0.000000	0.000000	0.000000	1	1	1	0	-1	0	0	1	0	phishing
6	http://www.mutuo.it	0	1	0	0	2	0	0	1	2	3	3	3	0	5	5	0	4.000000	4.0	0.000000	0	0	98	0.081633	0.918367	10	0.000000	0.000000	0	1	0.000000	0.000000	100.000000	100.000000	0	1	0	170	7529	0	0	0	1	legitimate
7	http://www.shadetreetechnology.com/V4/validation/ba4b8bddd7958ecb8772c836c2969531	1	1	0	0	2	0	0	1	5	8	2	3	2	32	19	32	13.200000	11.0	14.666667	0	0	30	0.966667	0.033333	0	0.000000	0.000000	0	0	100.000000	80.000000	20.000000	100.000000	1	0	0	76	5767	0	0	1	2	phishing
8	http://vamoaestudiarmedicina.blogspot.com/	0	0	0	0	2	0	1	0	2	0	8	8	0	21	21	0	14.500000	14.5	0.000000	0	1	63	0.206349	0.793651	3	0.380000	0.000000	0	1	0.000000	0.000000	100.000000	27.272727	1	1	0	371	7298	0	0	0	5	legitimate
9	https://parade.com/425836/joshwigler/the-amazing-race-host-phil-keoghan-previews-the-season-27-premiere/	0	0	0	0	1	0	0	0	14	0	2	6	2	10	6	10	5.571429	6.0	5.538462	1	0	140	0.778571	0.221429	1	0.193548	0.000000	0	1	93.103448	10.000000	90.000000	58.139535	1	0	0	128	9368	6774	0	0	5	legitimate

Last rows

	url	ip	nb_www	nb_com	http_in_path	tld_in_path	tld_in_subdomain	abnormal_subdomain	nb_subdomains	prefix_suffix	nb_redirection	nb_external_redirection	length_words_raw	char_repeat	shortest_words_raw	shortest_word_host	shortest_word_path	longest_words_raw	longest_word_host	longest_word_path	avg_words_raw	avg_word_host	avg_word_path	phish_hints	domain_in_brand	brand_in_path	statistical_report	nb_hyperlinks	ratio_intHyperlinks	ratio_extHyperlinks	nb_extCSS	ratio_extRedirection	ratio_extErrors	login_form	external_favicon	links_in_tags	ratio_intMedia	ratio_extMedia	iframe	safe_anchor	domain_in_title	domain_with_copyright	whois_registered_domain	domain_registration_length	domain_age	web_traffic	dns_record	google_index	page_rank	status
11420	https://adnanboz.wordpress.com/2012/01/06/how-to-set-up-amazon-ec2-windows-gpu-instance-for-nvidia-cuda-development/	0	0	0	0	0	0	0	2	0	0	0	18	1	2	8	2	11	9	11	4.777778	8.50	4.312500	0	1	0	0	16	0.187500	0.812500	4	0.000000	0.000000	0	1	16.666667	0.000000	0.000000	0	0.000000	1	0	0	585	7449	0	0	0	8	legitimate
11421	http://www.peoplemakingplaces.com/includes/Support/En/log/signin/customer_center/customer-IDPP00C644/myaccount/signin	0	1	0	0	0	0	0	2	1	1	0	13	8	2	3	2	18	18	10	7.230769	10.50	6.636364	4	0	0	0	42	0.809524	0.190476	1	0.500000	0.000000	0	1	50.000000	100.000000	0.000000	0	20.000000	1	0	0	134	2058	0	0	1	2	phishing
11422	http://sheetdownload.com/	0	0	0	0	0	0	0	1	0	1	0	1	1	13	13	0	13	13	0	13.000000	13.00	0.000000	0	0	0	0	139	0.978417	0.021583	0	0.000000	0.000000	0	0	80.000000	100.000000	0.000000	0	100.000000	0	0	0	144	2778	788648	0	0	2	legitimate
11423	http://www.dmega.co.kr/dmega/data/qna/sec/page.php?email=ZmFpdGhAc2VtYW50aWMuaW5mbw==	0	1	0	0	0	0	0	3	0	0	0	10	3	3	3	3	26	5	26	6.100000	4.00	6.625000	0	0	0	0	92	1.000000	0.000000	0	0.000000	0.000000	0	0	100.000000	100.000000	0.000000	1	100.000000	0	1	0	293	5186	10408014	0	1	1	phishing
11424	http://www.answers.com/Q/What_are_the_sizes_of_computer_memory	0	1	1	0	1	0	0	2	0	1	0	10	3	1	3	1	8	7	8	4.200000	5.00	4.000000	0	0	0	0	66	0.848485	0.151515	1	0.000000	0.000000	0	1	89.285714	0.000000	0.000000	0	20.000000	0	1	0	506	8829	2635	0	1	6	legitimate
11425	http://www.fontspace.com/category/blackletter	0	1	0	0	0	0	0	2	0	1	0	4	4	3	3	8	11	9	11	7.750000	6.00	9.500000	0	0	0	0	199	0.884422	0.115578	0	0.043478	0.173913	0	1	80.000000	21.052632	78.947368	0	0.000000	0	0	0	448	5396	3980	0	0	6	legitimate
11426	http://www.budgetbots.com/server.php/Server%20update/index.php?email=USER@DOMAIN.com	0	1	1	0	1	0	0	3	0	1	0	12	3	3	3	3	10	10	8	5.166667	6.50	4.900000	0	0	0	0	3	1.000000	0.000000	0	0.000000	0.000000	0	0	100.000000	0.000000	0.000000	0	0.000000	1	0	0	211	6728	0	0	1	0	phishing
11427	https://www.facebook.com/Interactive-Television-Pvt-Ltd-Group-M-100230523435650/photos/?ref=page_internal	1	1	0	0	0	0	0	2	0	0	0	13	5	1	3	1	15	8	15	6.153846	5.50	6.272727	0	1	0	0	68	0.470588	0.529412	5	0.000000	0.000000	0	1	6.250000	0.000000	0.000000	0	80.000000	0	0	0	2809	8515	8	0	1	10	legitimate
11428	http://www.mypublicdomainpictures.com/	0	1	0	0	0	0	0	2	0	0	0	2	3	3	3	0	22	22	0	12.500000	12.50	0.000000	0	0	0	0	32	0.375000	0.625000	1	0.050000	0.050000	0	1	16.666667	0.000000	100.000000	0	0.000000	1	0	0	85	2836	2455493	0	0	4	legitimate
11429	http://174.139.46.123/ap/signin?openid.pape.max_auth_age=0&openid.return_to=https%3A%2F%2Fwww.amazon.co.jp%2F%3Fref_%3Dnav_em_hd_re_signin&openid.identity=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.0%2Fidentifier_select&openid.assoc_handle=jpflex&openid.mode=checkid_setup&key=a@b.c&openid.claimed_id=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.0%2Fidentifier_select&openid.ns=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.0&&ref_=nav_em_hd_clc_signin	1	1	0	4	1	1	1	3	0	1	1	90	8	1	2	1	12	3	12	4.377778	2.75	4.453488	3	0	1	2	21	0.428571	0.571429	3	0.000000	0.083333	1	1	0.000000	0.000000	0.000000	0	33.333333	1	1	1	0	-1	0	1	1	0	phishing

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Math Symbol

Open Punctuation

Close Punctuation

Control

Other Letter

Modifier Symbol

Space Separator

Dash Punctuation

Connector Punctuation

Currency Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Han

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

CJK

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common